Predicting and Responding to Customer Needs Using Local Positioning Technology
Methods and systems for predicting and responding to customer needs using local positioning technology are presented. In some embodiments, a customer assistance computing platform may receive one or more attributes associated with a beacon signal received by a customer computing device and an identi...
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creator | GRIGG DAVID M SCANLON SHARON HANSON CARRIE ANNE STITTSWORTH KIM GILL DAVINDAR |
description | Methods and systems for predicting and responding to customer needs using local positioning technology are presented. In some embodiments, a customer assistance computing platform may receive one or more attributes associated with a beacon signal received by a customer computing device and an identifier associated with the customer computing device. Subsequently, the computing platform may determine an identity of a customer using the customer computing device. The computing platform then may determine a location of the customer using the customer computing device based on the one or more attributes associated with the beacon signal. Thereafter, the computing platform may determine one or more predicted needs of the customer. Then, the computing platform may generate a notification based on the predicted needs of the customer and may send the notification to the customer computing device. |
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In some embodiments, a customer assistance computing platform may receive one or more attributes associated with a beacon signal received by a customer computing device and an identifier associated with the customer computing device. Subsequently, the computing platform may determine an identity of a customer using the customer computing device. The computing platform then may determine a location of the customer using the customer computing device based on the one or more attributes associated with the beacon signal. Thereafter, the computing platform may determine one or more predicted needs of the customer. 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In some embodiments, a customer assistance computing platform may receive one or more attributes associated with a beacon signal received by a customer computing device and an identifier associated with the customer computing device. Subsequently, the computing platform may determine an identity of a customer using the customer computing device. The computing platform then may determine a location of the customer using the customer computing device based on the one or more attributes associated with the beacon signal. Thereafter, the computing platform may determine one or more predicted needs of the customer. Then, the computing platform may generate a notification based on the predicted needs of the customer and may send the notification to the customer computing device.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR WIRELESS COMMUNICATIONS NETWORKS |
title | Predicting and Responding to Customer Needs Using Local Positioning Technology |
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